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Authors: Jordan Cuno 1 ; Arthur Bezerra 2 ; Aura Conci 1 and Luiz Gonçalves 2

Affiliations: 1 Computer Institute, Universidade Federal Fluminense, Niterói, Brazil ; 2 Grad. Prog. in Elec. and Comp. Eng., Univ. Fed. do Rio Grande do Norte, Natal, Brazil

Keyword(s): Air Quality Index, Sentinel-5 Dataset, Pandemic Dynamics, Data-Driven Prediction.

Abstract: Air quality has been a hot research topic not only because it is directly related to climate change and the greenhouse effect, but most because it has been strongly associated to the transmission of respiratory diseases. Considering that different pollutants affect air quality, a methodology based on satellite data processing is proposed. The objective is to obtain images and measure the main atmospheric pollutants in Brazil. Using satellite systems with spectrometers is an alternative technology that has been recently developed for dealing with such a problem. Sentinel-5 is one of these satellites that works contantly monitoring the earth surface generating a vast amount of data mainly for climate monitoring, and that is used in this research. The main contribution of this research is a computational workflow that uses Sentinel-5 data to generate images of Brazil and its states, in addition to calculating the average value of the main atmospheric pollutants, data that can be used in the prediction of pollution as well as the identification of most polluted regions. (More)

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Paper citation in several formats:
Cuno, J.; Bezerra, A.; Conci, A. and Gonçalves, L. (2024). On Granularity Variation of Air Quality Index Vizualization from Sentinel-5. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP; ISBN 978-989-758-679-8; ISSN 2184-4321, SciTePress, pages 711-720. DOI: 10.5220/0012459000003660

@conference{visapp24,
author={Jordan Cuno. and Arthur Bezerra. and Aura Conci. and Luiz Gon\c{C}alves.},
title={On Granularity Variation of Air Quality Index Vizualization from Sentinel-5},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP},
year={2024},
pages={711-720},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012459000003660},
isbn={978-989-758-679-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP
TI - On Granularity Variation of Air Quality Index Vizualization from Sentinel-5
SN - 978-989-758-679-8
IS - 2184-4321
AU - Cuno, J.
AU - Bezerra, A.
AU - Conci, A.
AU - Gonçalves, L.
PY - 2024
SP - 711
EP - 720
DO - 10.5220/0012459000003660
PB - SciTePress

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